hw04 ready for grading

[auduman]

Hi @cheungamanda!

Awesome hw04. Some comments:

• It might be good to have a link to your hw04 readme and .md in this issue, just to make it super easy for the reader.

• I liked your formatting throughout this assignment, it made things very easy to read and understand. I liked your emojis in particular for the tidyr cheatsheet :) It looks like it really helped you understand the functions gather() and spread()! I also liked how you noted alternative ways to use gather() resulting in the same output.

• Activity 2 was done well, I like your scatterplot (I myself did this and did it differently, but I think yours is better). Your graph really shows the similarities and differences in life expectancy between the countries studied really well. I like your discrete colour scale for year.

• I'm not sure if geom_abline() is the best to use for the Europe vs Africa life expectancy trend? It may not fit the data as well as another method.

• I really like your Activity 4 using the paste() function and that you attempted doing it!

• One suggestion I would have is adding a bit more description of what your output shows after each activity. Also, maybe talk about what you found particularly easy/hard for each step.

• Your join activities were all done really well and thoroughly, you explored all (?) of the join functions we learned about. Maybe make the output format a bit nicer using knitr::kable?

• Good job trying Activity 3 :)

Overall great job and a really thorough homework!! I learned a lot reading it (this homework frustrated me a lot and I didn't get the chance to do many of the activities). It's great to see you do it so well!

-Aisha

[Mathnstein]

Hi @cheungamanda

I can see you put some extra effort into this assignment by attempting nearly every task! Good on you! I did a very similar comparison between countries on their life expectancy and would suggest a full regression analysis to be able to say more concretely what is going in as a relation of the two countries!

Outside of this, great job exploring some of the base functions like match and merge as well as some of the ggplot functions and their equivalents. I was able to pick up a few things from reading through your exploration!

Cheers, Cody

[derekcho]

Hi @cheungamanda, here are some comments about your hw04:

• Excellent overall presentation, the report looks great! Good use of markdown syntaxes and graphics to illustrate your points
• Very good cheat sheet that is easy to follow and demonstrates the use of gather and spread well
• It would be nice to see a bit more explanation in between all your code and plots in task 1. Make sure that you provide a brief interpretation for each of your plots. Ideally, the reader shouldn’t have to look at the code to figure out what is going on. However, this was done well in task 2.
• For task 2, it would have been better to subset the data so that it illustrates your joins better. Seeing 10 rows of Afghanistan or Argentina is less helpful for the reader than a mix of different countries (use data from only one year perhaps since capital cities and languages don’t change over time).
• I would also suggest that you render the tables with knitr in task 2 as well
• Good coding style, easy to read! Repo is in nice order, easy to navigate
• Overall, very well done! Your report was well presented and did a good job of showing data manipulations and joins. Also, you did more than the required number of tasks. Good job!

Your grade will be emailed to you at a later date.